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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=375348&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-375348
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ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------
Author: ASF GitHub Bot
Created on: 22/Jan/20 01:07
Start Date: 22/Jan/20 01:07
Worklog Time Spent: 10m
Work Description: pabloem commented on pull request #10368: [BEAM-8335]
Modify PipelineInstrument to add TestStream for unbounded PCollections
URL: https://github.com/apache/beam/pull/10368#discussion_r369325196
##########
File path: sdks/python/apache_beam/runners/interactive/pipeline_instrument.py
##########
@@ -418,6 +423,45 @@ def _replace_with_cached_inputs(self, pipeline):
cache, noop.
"""
+ # Find all cached unbounded PCollections.
+ class CacheableUnboundedPCollectionVisitor(PipelineVisitor):
+ def __init__(self, pin):
+ self._pin = pin
+ self.unbounded_pcolls = set()
+
+ def enter_composite_transform(self, transform_node):
+ self.visit_transform(transform_node)
+
+ def visit_transform(self, transform_node):
+ if transform_node.inputs:
+ for input_pcoll in transform_node.inputs:
+ key = self._pin.cache_key(input_pcoll)
+ if (key in self._pin._cached_pcoll_read and
+ not input_pcoll.is_bounded):
+ self.unbounded_pcolls.add(key)
+
+ v = CacheableUnboundedPCollectionVisitor(self)
+ pipeline.visit(v)
+
+ # The set of keys from the cached unbounded PCollections will be used as
the
+ # output tags for the TestStream. This is to remember what cache-key is
+ # associated with which PCollection.
+ unbounded_cacheables = v.unbounded_pcolls
Review comment:
`unbounded_cacheables` seems like a superfluous variable? It's not used
anywhere else?
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Issue Time Tracking
-------------------
Worklog Id: (was: 375348)
Time Spent: 53h 40m (was: 53.5h)
> Add streaming support to Interactive Beam
> -----------------------------------------
>
> Key: BEAM-8335
> URL: https://issues.apache.org/jira/browse/BEAM-8335
> Project: Beam
> Issue Type: Improvement
> Components: runner-py-interactive
> Reporter: Sam Rohde
> Assignee: Sam Rohde
> Priority: Major
> Time Spent: 53h 40m
> Remaining Estimate: 0h
>
> This issue tracks the work items to introduce streaming support to the
> Interactive Beam experience. This will allow users to:
> * Write and run a streaming job in IPython
> * Automatically cache records from unbounded sources
> * Add a replay experience that replays all cached records to simulate the
> original pipeline execution
> * Add controls to play/pause/stop/step individual elements from the cached
> records
> * Add ability to inspect/visualize unbounded PCollections
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